Background/Objectives: Machine learning is increasingly applied to identify hypertension from broad predictor panels, but whether it outperforms a few routine measurements is unclear. We compared machine learning pipelines against three readily obtained variables in a national Chilean survey. Methods: We analysed 5516...
Rodrigo Yáñez-Sepúlveda, Boryi A. Becerra-Patiño, Felipe Montalva-Valenzuela et al.· Diagnostics· 0 citations
Background: Mental health has become a fundamental component of the sports world. Although previous studies have addressed psychological aspects of women’s soccer, no comprehensive review has mapped both mental health symptoms and adaptive psychological resources and psychophysiological markers in professional, semi-pr...
A. Montenegro-Bonilla, Boryi A. Becerra-Patiño, Jorge Olivares-Arancibia et al.· Sports· 0 citations
Evidence indicates that muscle oxygen saturation is closely related to metabolic thresholds, lactate accumulation, and internal load, making it a reliable parameter for individualized training prescription and performance optimization, and offers promising perspectives for strength training, injury prevention, and reha...
Aldo Alfonso Vasquez Bonilla, Rodrigo Yáñez-Sepúlveda, D. Rojas-Valverde· Research in Sports Science· 0 citations
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